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SEARCH, SYNTHESIS, AND ANALYSIS
FOR SEMICONDUCTOR DEVICE DESIGN
by
Jason Thalken
_____________________________________________________________
A Dissertation Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(PHYSICS)
December 2006
Copyright 2006 Jason Thalken
Object Description
| Title | Search, synthesis, and analysis for semiconductor device design |
| Author | Thalken, Jason |
| Author email | thalken@usc.edu |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Physics |
| School | College of Letters, Arts and Sciences |
| Date defended/completed | 2006-09-22 |
| Date submitted | 2006 |
| Restricted until | Unrestricted |
| Date published | 2006-10-06 |
| Advisor (committee chair) | Haas, Stephan |
| Advisor (committee member) |
Levi, Anthony Bickers, Nelson Bozler, Hans M. Lidar, Daniel |
| Abstract | Synthesis of semiconductor device design requires access to realistic physical models and adaptive algorithms. To demonstrate that such synthesis is feasible, atomic clusters with specified quasiparticle densities of states are designed using advanced search algorithms, and broken-symmetry quantum-well potential profiles are developed with optical response properties superior to previous ad hoc solutions.; Advanced stochastic search algorithms are introduced in the context of a guide to efficient implementation of inverse problem solving methods, and then, it is shown that automated searches of configuration space may be performed without the need to input a specific target function. Improved electroabsorption modulator designs resulting from these machine-based searches are given as a demonstration of the utility of targetless exploration.; Finally, the results of experimental testing of the asymmetric quantum well structures discovered by machine are presented, and it is established that in order to fabricate functional devices from these designs, significant improvements in the growth and measurement processes are required. |
| Keyword | genetic algorithm; optimization; inverse problem |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Type | texts |
| Legacy record ID | usctheses-m87 |
| Contributing entity | University of Southern California |
| Rights | Thalken, Jason |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Thalken-20061006 |
| Archival file | uscthesesreloadpub_Volume26/etd-Thalken-20061006.pdf |
Description
| Title | Page 1 |
| Contributing entity | University of Southern California |
| Full text | SEARCH, SYNTHESIS, AND ANALYSIS FOR SEMICONDUCTOR DEVICE DESIGN by Jason Thalken _____________________________________________________________ A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (PHYSICS) December 2006 Copyright 2006 Jason Thalken |
